I am currently thinking of the best way to continue this (Jupyter Notebook or other platform), as well as what content to add (even though there isn't much right now).
INTRODUCTION: A Jupyter Notebook written to explore the different types of forecast verifications.
GOALS:
- Explore the different ways to verify forecasts and analyze different types of verification statistics
- Use computational methods to simplify some of the techniques used in analyzing forecast verification scores
- Understand the mathemetical background of the statistical methods for verification
SECTIONS:
- Dichotomous Forecasts (In Progress)
- Multiple-Category Forecasts (Coming Soon)
CONTRIBUTORS:
- Joseph Fogarty, Rutgers University
If you would like to contribute, please contact me at jjf1295@gmail.com.
For More Information: http://www.cawcr.gov.au/projects/verification/